The development of e-commerce site operators in Indonesia is now faced with intense competition for defending the market segment, especially regarding how e-commerce sites are attracting consumers through specic marketing strategies. This study implements a decision support system approach to help marketers to determine price discount alternatives using the Elimination et Choix Traduisant la Realite (ELECTRE) method. The ELECTRE method is widely recognized for having good performance in analyzing customer behavior criteria; however, there is little information about discount analysis using the ELECTRE method. This study implements a method for consumer behavior simulation that can be aected by the criteria to make a purchase on a simulated e-commerce website. Our model estimates three parts of the matrices' analysis: (a) average value of discounted price (DP); (b) average value of pro- duct brand (PB); and (c) average value of purchase decision (PD). We used these as the main alternatives; e.g., price discounts as rst alternative (A1), brand discount as second alternative (A2), and purchase discount as third alternative (A3). Based on the results of the dominant aggregation matrix, the study found that the results are dominated by brand discount (A2). In other words, it is recommended for the decision maker to focus their discount on certain brands more precisely as a marketing strategy than price discount or purchase discount.
The method of decision making system elaboration in competitive environment based on ontological approach was developed. For scientific modeling of decision support process in competitive environment, mathematical support and methods of domain-specific ontology in the Boyd cycle (OODA – observation, orientation, decision, action) were elaborated.
A prototype for an operational ship routing Decision Support System using time‐dependent meteo‐oceanographic fields is presented. The control variable is ship course, which is modified using a directional resolution of less than 27 degrees. The shortest path is recovered using a modified Dijkstra’s algorithm. Safety restrictions for avoiding surfriding and parametric rolling according to the guidelines of the International Maritime Organization (IMO) are implemented. Numerical experiments tailored on a mediumsize vessel are presented and perspectives of development of the system are outlined.
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Supporting the navigator in decision making processes may substantially contribute to the enhancement of the safety in sea transport. The navigational decision support system supplements the existing range of equipment and systems intended for sea-going ship conduct. One of the basic tasks of such systems is an analysis of a navigational situation and solving collision situations. A well functioning navigational decision support system should feature a decision-maker’s (navigator’s) knowledge representation. This refers to both explicit knowledge - procedural, declarative, heuristic, and tacit knowledge - empirical associations. The article presents assumptions of navigational knowledge base and its realization in the presently designed navigational decision support system.
A ship’s autopilot adjustment is a matter of utmost importance since it affects its safety, command as well as fuel and time efficiency. A number of methods have been developed in order to cope with this issue usually based on models that simulate the weather conditions and adjust the device accordingly. Some of them have a considerable degree of success but none dealt with the problem completely. The main obstacles are the difficulty of simulating the infinite weather and loading conditions and to properly represent them with mathematical equations or rules. This paper describes a method of selecting the best out of a pre-existing set of configurations, taking into account any weather situation, loading condition and type of ship. Moreover, the selected configuration can improve itself during the entire life cycle of the vessel, since it fine tunes its properties for better results. This approach uses Case Based Reasoning as its core technology and is a part of a hybrid system that analyses and solves prefixed problems of maritime interest.
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Shipboard weather information and decision-support systems have been developed to assist the officer on watch by supplying dedicated weather forecasts along a planned route. An added value can be achieved by combining an existing system with functionalities providing information about the ship’s performance in a seaway and an optimum routing algorithm. This paper describes functionalities for predicting slamming, green water on deck, synchronous and parametric roll and the implementation in an existing system to support safe and efficient ocean passage planning. A full scale test on board a container ship crossing the North Atlantic Ocean has been carried out in order to gain operational experience for evaluation of the concept. Further testing is required for validation purposes.
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More and more electronic devices appears on the bridge of the vessel. All of them are supposed to help navigator in his work. Some of them are useful for exchanging data among vessels. Nowadays navigator can observe surroundings of the vessel on screens of some different systems of exchanging data. It is obvious that there are some advantages and some disadvantages of each of these systems. Proposal of the author is connecting data obtained from mentioned systems by means of data fusion technique. Joining few systems in one will be helpful at making decision on the bridge of the vessel. This paper is an introduction to consideration how to use the data fusion in the maritime navigation.
The paper introduces a visualization method that enables the navigator to estimate an encounter situation and choose collision avoidance manoeuvre if necessary. It is based on the CTPA method and offers new features: fuzzy sectors of forbidden speed and course values and the possibility to use any given ship domain. The method is fast enough to be applied in the real-time decision-support system.
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